Title of article :
Effect of Beloved Person’s Voice on Chest Tube Removal Pain in Patients Undergoing Open Heart Surgery: Fuzzy Logistic Regression Model
Author/Authors :
Salmani, Fatemeh Faculty of Health - Birjand University of Medical Sciences,Birjand , Abadi, Alireza Department of Community Medicine - School of Medicine - Shahid Beheshti University of Medical Sciences, Tehran , Taheri, Mahmoud Faculty of Engineering Science - College of Engineering - University of Tehran, Tehran , Alavi Majd, Hamid Faculty of Health - Birjand University of Medical Sciences,Birjand , Abbaszadeh, Abbas Department of Nursing - Nursing & Midwifery School - Shahid Beheshti University of Medical Sciences, Tehran , Sheikhasadi, Hakime Department of Nursing - Nursing & Midwifery School - Shahid Beheshti University of Medical Sciences, Tehran
Pages :
6
From page :
46
To page :
51
Abstract :
Chest tube removal pain is one of the most important complications after open heart surgery. The removal of a chest tube is a painful and frightening experience and should be managed with as little pain and distress as possible. The aim of this study is to assess the effect of beloved person’s voice on chest tube removal pain in patients undergoing open heart surgery. 128 patients were randomly assigned to two groups: one group listened to beloved person’s voice during the procedure, and the other did not. Since pain was measured by linguistic terms, a fuzzy logistic regression was applied for modeling. After controlling for the potential confounders, based on fuzzy logistic regression, the beloved person’s voice reduced the risk of pain. Therefore, using beloved person’s voice could be effective, inexpensive and safe for distraction and reduction of pain.
Keywords :
Beloved person’s voice , Pain , Chest tube removal , Fuzzy logistic regression
Journal title :
Astroparticle Physics
Serial Year :
2017
Record number :
2431525
Link To Document :
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